Support Vector Machines for Regression: A Succinct Review of Large-Scale and Linear Programming Formulations

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
www.scirp.org/journal/ijis
E-mail: ijis@scirp.org

Google-based Impact Factor: 2
Citations

Journals Menu

"Support Vector Machines for Regression: A Succinct Review of Large-Scale and Linear Programming Formulations"
written by Pablo Rivas-Perea, Juan Cota-Ruiz, David Garcia Chaparro, Jorge Arturo Perez Venzor, Abel Quezada Carreón, Jose Gerardo Rosiles,
published by International Journal of Intelligence Science, Vol.3 No.1, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Support vector machines within a bivariate mixed-integer linear programming framework
	Expert Systems with Applications, 2024

[2]	Porphyrin fluorescence imaging for real-time monitoring and visualization of the freshness of beef stored at different temperatures
	Food Chemistry, 2024

[3]	Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)
	Journal of Intelligent …, 2024

[4]	Unraveling the complex relationship between mRNA and protein abundances: a machine learning-based approach for imputing protein levels from RNA-seq …
	NAR Genomics and …, 2024

[5]	Copper ore grade prediction using Machine Learning techniques in a copper deposit
	Journal of Mining …, 2024

[6]	Application of machine learning techniques for obesity prediction: a comparative study
	Journal of Complexity in Health Sciences, 2023

[7]	Predicting COVID-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis
	International Conference on …, 2023

[8]	A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends
	arXiv preprint arXiv:2301.11257, 2023

[9]	Evaluation of Heuristics for Taken's Theorem Hyper-Parameters Optimization in Time Series Forecasting Tasks
	Mazariegos, J Ortiz-Bejar… - Engineering …, 2023

[10]	FORECASTING WINTER ROAD CONDITIONS: A DATA-DRIVEN APPROACH
	2023

[11]	Élaboration d'un outil d'aide à la décision pour l'estimation de l'uni longitudinal final des chaussées intégrant les phasages de leur mise en œuvre: Une approche …
	2023

[12]	Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology
	Science of The Total …, 2023

[13]	Fine-tuning optimization of poly lactic acid impact strength with variation of plasticizer using simple supervised machine learning methods.
	Express Polymer …, 2023

[14]	Prediction of bioactivities of microsomal prostaglandin E2 synthase‐1 inhibitors by machine learning algorithms
	Chemical Biology & Drug …, 2023

[15]	Machine learning-based lung cancer diagnosis
	Turkish Journal of Engineering, 2023

[16]	Wear parameter diagnostics of industrial milling machine with support vector regression
	Machines, 2023

[17]	Vulnerability and Protective Factors for PTSD and Depression Symptoms Among Healthcare Workers During COVID-19: A Machine Learning Approach
	Frontiers in …, 2022

[18]	Resolvent and new activation functions for linear programming kernel sparse learning
	Advances in Computational Intelligence, 2022

[19]	Estimation of Wheat Yield Based on Precipitation and Evapotranspiration Using Soft Computing Methods
	Computer Vision and Machine Learning in …, 2022

[20]	Bitcoin Price Prediction-an Analysis of Various Regression Methods
	2022 IEEE 12th Symposium on Computer …, 2022

[21]	Understanding the drivers of academic achievement: Evidence for Portugal's high school system, a machine learning approach
	2022

[22]	Forecasting COVID-19 using Polynomial Regression and Support Vector Machine
	2022

[23]	Forecasting Turkish Lira (TRY)/US Dollar (USD) Interest Exchange Rates Using Machine Learning Methodologies
	Journal of Soft Computing and Artificial Intelligence, 2021

[24]	Comparing the Accuracy of Prediction Models based on Ensemble Machine Learning Schemes
	Proceedings of the International Conference on Industrial Engineering and Operations Management, 2021

[25]	Machine learning bias in predicting high school grades
	Mendes, F Cruz-Jesus, T Oliveira… - Emerging Science …, 2021

[26]	Run length encoding based wavelet features for COVID-19 detection in X-rays
	2021

[27]	Machine learning bias in predicting high school grades: A knowledge perspective
	Mendes, F Cruz-Jesus, T Oliveira… - Emerging Science …, 2021

[28]	Molecular De Novo Design Through Deep Generative Models
	Pous, EJ Bjerrum, 2020

[29]	Modeling and optimization of microbial lipid fermentation from cellulosic ethanol wastewater by Rhodotorula glutinis based on the support vector machine
	2020

[30]	A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach
	2020

[31]	Prediction of Covid-19 pandemic based on Regression
	2020

[32]	Optimization of process parameters for anaerobic fermentation of corn stalk based on least squares support vector machine
	Bioresource Technology, 2019

[33]	BIN-CT: Urban waste collection based on predicting the container fill level
	2019

[34]	Concepts and Applications of Conformal Prediction in Computational Drug Discovery
	2019

[35]	A two-step method for damage identification in moment frame connections using support vector machine and differential evolution algorithm
	2019

[36]	BIN-CT: Urban waste collection based on predicting the container fill level.
	Urbano, 2019

[37]	Development of a machine vision system using the support vector machine regression (SVR) algorithm for the online prediction of iron ore grades
	Earth Science Informatics, 2018

[38]	BIN-CT: Urban Waste Collection based in Predicting the Container Fill Level
	2018

[39]	Der Einsatz hyperspektraler Fernerkundungsdaten zur Analyse schwermetallbedingter Boden-und Pflanzenbelastungen in einem Auenökosystem unter besonderer …
	2018

[40]	Surrogate modelling of net radiation flux from pool fires in a hydrocarbon storage facility
	Process Safety and Environmental Protection, 2018

[41]	Bilinear Generating Functions in Kernel Sparse Modeling and Learning
	2018

[42]	Análise e previsão de carga crítica ativa e reativa do Sistema Elétrico Brasileiro
	2017

[43]	Bilinear generating functions in Kernel sparse modeling and learning: Towards the kernel engineering
	2017

[44]	Surrogate modelling for enhancing consequence analysis based on computational fluid dynamics
	Journal of Loss Prevention in the Process Industries, 2017

[45]	Design and evaluation of analytical tools for emergency department management based on machine learning techniques
	2016

[46]	Purchase behavior analysis through gaze and gesture observation
	Pattern Recognition Letters, 2016

[47]	Application of a surrogate modeling to the ship structural design
	Ocean Engineering, Elsevier, 2014

[48]	A regression-based method for the prediction of the indecisiveness degree through eye movement patterns
	Proceedings of the 2013 Conference on Eye Tracking South Africa. ACM, 2013., 2013

[49]	TALTECH UNIVERSITY

[1]	Academic-related stressors predict depressive symptoms in graduate students: A machine learning study Behavioural Brain Research, 2025 DOI:10.1016/j.bbr.2024.115328

[2]	Hybrid Semi-mechanistic and Machine Learning Solubility Regression Modeling for Crystallization Process Development Crystal Growth & Design, 2025 DOI:10.1021/acs.cgd.4c01451

[3]	Data Science and Applications Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-981-99-7817-5_39

[4]	Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM) Journal of Intelligent Manufacturing, 2024 DOI:10.1007/s10845-024-02398-z

[5]	A Comprehensive Review of Advancements in AI-Based Techniques for Field Development Optimization Arabian Journal for Science and Engineering, 2024 DOI:10.1007/s13369-024-09829-2

[6]	Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM) Journal of Intelligent Manufacturing, 2024 DOI:10.1007/s10845-024-02398-z

[7]	Employing machine learning techniques for estimating the differential code biases of GPS satellites Journal of Spatial Science, 2024 DOI:10.1080/14498596.2024.2371831

[8]	From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design ACS Catalysis, 2024 DOI:10.1021/acscatal.3c06293

[9]	Data‐driven battery capacity estimation using support vector regression and model bagging under fast‐charging conditions The Canadian Journal of Chemical Engineering, 2024 DOI:10.1002/cjce.25394

[10]	Porphyrin fluorescence imaging for real-time monitoring and visualization of the freshness of beef stored at different temperatures Food Chemistry, 2024 DOI:10.1016/j.foodchem.2024.138420

[11]	Support vector machines within a bivariate mixed-integer linear programming framework Expert Systems with Applications, 2024 DOI:10.1016/j.eswa.2023.122998

[12]	Support vector machines within a bivariate mixed-integer linear programming framework Expert Systems with Applications, 2024 DOI:10.1016/j.eswa.2023.122998

[13]	Application of machine learning techniques for obesity prediction: a comparative study Journal of Complexity in Health Sciences, 2023 DOI:10.21595/chs.2023.23193

[14]	Prediction of bioactivities of microsomal prostaglandin E 2 synthase‐1 inhibitors by machine learning algorithms Chemical Biology & Drug Design, 2023 DOI:10.1111/cbdd.14214

[15]	Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology Science of The Total Environment, 2023 DOI:10.1016/j.scitotenv.2023.162149

[16]	Machine learning-based lung cancer diagnosis Turkish Journal of Engineering, 2023 DOI:10.31127/tuje.1180931

[17]	Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology Science of The Total Environment, 2023 DOI:10.1016/j.scitotenv.2023.162149

[18]	Application of machine learning techniques for obesity prediction: a comparative study Journal of Complexity in Health Sciences, 2023 DOI:10.21595/chs.2023.23193

[19]	Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology Science of The Total Environment, 2023 DOI:10.1016/j.scitotenv.2023.162149

[20]	Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology Science of The Total Environment, 2023 DOI:10.1016/j.scitotenv.2023.162149

[21]	Machine Learning-Based Lung Cancer Diagnosis Turkish Journal of Engineering, 2022 DOI:10.31127/tuje.1180931

[22]	Vulnerability and Protective Factors for PTSD and Depression Symptoms Among Healthcare Workers During COVID-19: A Machine Learning Approach Frontiers in Psychiatry, 2022 DOI:10.3389/fpsyt.2021.752870

[23]	Bitcoin Price Prediction- an Analysis of Various Regression Methods 2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE), 2022 DOI:10.1109/ISCAIE54458.2022.9794532

[24]	Resolvent and new activation functions for linear programming kernel sparse learning Advances in Computational Intelligence, 2022 DOI:10.1007/s43674-022-00038-8

[25]	Computer Vision and Machine Learning in Agriculture, Volume 2 Algorithms for Intelligent Systems, 2022 DOI:10.1007/978-981-16-9991-7_6

[26]	A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach Education and Information Technologies, 2021 DOI:10.1007/s10639-020-10316-y

[27]	Run length encoding based wavelet features for COVID-19 detection in X-rays BJR\|Open, 2021 DOI:10.1259/bjro.20200028

[28]	A two-step method for damage identification in moment frame connections using support vector machine and differential evolution algorithm Applied Soft Computing, 2020 DOI:10.1016/j.asoc.2019.106008

[29]	Modeling and optimization of microbial lipid fermentation from cellulosic ethanol wastewater by Rhodotorula glutinis based on the support vector machine Bioresource Technology, 2020 DOI:10.1016/j.biortech.2020.122781

[30]	Prediction of Covid-19 pandemic based on Regression 2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2020 DOI:10.1109/ICRCICN50933.2020.9296175

[31]	Optimization of process parameters for anaerobic fermentation of corn stalk based on least squares support vector machine Bioresource Technology, 2019 DOI:10.1016/j.biortech.2018.09.085

[32]	BIN-CT: Urban waste collection based on predicting the container fill level Biosystems, 2019 DOI:10.1016/j.biosystems.2019.04.006

[33]	Development of a machine vision system using the support vector machine regression (SVR) algorithm for the online prediction of iron ore grades Earth Science Informatics, 2018 DOI:10.1007/s12145-018-0370-6

[34]	Surrogate modelling of net radiation flux from pool fires in a hydrocarbon storage facility Process Safety and Environmental Protection, 2018 DOI:10.1016/j.psep.2017.12.024

[35]	Bilinear generating functions in Kernel sparse modeling and learning: Towards the kernel engineering 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017 DOI:10.1109/SSCI.2017.8280912

[36]	Surrogate modelling for enhancing consequence analysis based on computational fluid dynamics Journal of Loss Prevention in the Process Industries, 2017 DOI:10.1016/j.jlp.2017.04.027

[37]	Purchase behavior analysis through gaze and gesture observation Pattern Recognition Letters, 2016 DOI:10.1016/j.patrec.2016.04.008

[38]	Application of a surrogate modeling to the ship structural design Ocean Engineering, 2014 DOI:10.1016/j.oceaneng.2014.03.032

[39]	A regression-based method for the prediction of the indecisiveness degree through eye movement patterns Proceedings of the 2013 Conference on Eye Tracking South Africa, 2013 DOI:10.1145/2509315.2509320

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

International Journal of Intelligence Science

International Journal of Intelligence Science

Journals Menu

Home

About SCIRP

Service

Policies